activity
20172023
most citedOne pixel attack for fooling deep neural networks

1.7k citations · 1.8k across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2023

Simulation Environment with Customized RISC-V Instructions for Logic-in-Memory Architectures

Jia-Hui Su, Chen-Hua Lu, Jenq Kuen Lee +5

Nowadays, various memory-hungry applications like machine learning algorithms are knocking "the memory wall". Toward this, emerging memories featuring computational capacity are fo…

cs.LG2019★ 25 cited

Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis

Danilo Vasconcellos Vargas, Jiawei Su

Deep neural networks were shown to be vulnerable to single pixel modifications. However, the reason behind such phenomena has never been elucidated. Here, we propose Propagation Ma…

cs.CV2018★ 3 cited

Attacking Convolutional Neural Network using Differential Evolution

Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai

The output of Convolutional Neural Networks (CNN) has been shown to be discontinuous which can make the CNN image classifier vulnerable to small well-tuned artificial perturbations…

cs.CR2018★ 35 cited

Lightweight Classification of IoT Malware based on Image Recognition

Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad +3

The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very large number of smart devices, such as home appliances, network cameras, sensors and c…

cs.LG2017★ 1.7k cited

One pixel attack for fooling deep neural networks

Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi

Recent research has revealed that the output of Deep Neural Networks (DNN) can be easily altered by adding relatively small perturbations to the input vector. In this paper, we ana…